Sentence examples for data decomposition methods from inspiring English sources
Additionally, we note that there are several caveats to the use of data decomposition methods.
These unknown covariates can be approximated through various data decomposition methods.
We utilized four data decomposition methods – independent surrogate variable analysis (ISVA), surrogate variable analysis (SVA), principal component analysis (PCA) and PEER [ 13, 22] – to account for unknown covariates.
For example, when comparing the three data decomposition methods (PCA, SVA, and ISVA) (see Additional file 1: Tables S2 & S3), the answer was unclear, as all methods do a similar job accounting for the unknown covariates.
These data ultimately support the inclusion of covariates, as captured by data decomposition methods, in downstream analyses suggesting that such methods are either (a) accounting for unknown covariates beyond technical sequencing artifacts or (b) appropriately weighting the effects of the technical artifacts amongst the ISVs/PCs generated.
In this paper, a novel data decomposition method based on polygon complexity (DMPC) is proposed.
In parallel rasterization, it is difficult to design an effective data decomposition method.
EMD, a new adaptive and effective data decomposition method aiming at non-linear and non-stationary data, was presented by NE Huang in 1998 [12].
An empirical data decomposition method is developed in this study to accurately identify modeless component and intrinsic vibration modal terms separately from vibration processes, which are characterized by nonlinearity and nonstationarity.
The other innovation is the use of a predetermined maximum intrinsic time window and cubic spline interpolation technique for the empirical data decomposition method with the aim to decompose a modeless component from nonstationary processes.
Network component analysis is a data decomposition method for reconstructing regulatory signals and control strengths by using partial and qualitative network connectivity information.
